The phrase "a vast set of data" is correct and usable in written English.
It can be used when referring to a large collection of information or statistics in various contexts, such as research, analysis, or data management.
Example: "The researchers analyzed a vast set of data to identify trends in consumer behavior."
Alternatives: "a large dataset" or "an extensive collection of data."
In addition, a vast set of scattered data and information from government sources and other research reports are reviewed and analysed.
The proposed kinetic model is based on the syngas oxidation mechanism previously developed by authors, which was thoroughly tested against a vast set of experimental data, and incorporates recent ab initio studies of elementary processes with singlet oxygen molecules.
The importance of organising this vast set of data to make it easier to find any particular piece of information was recognised several decades ago, before the Internet era, when the Cambridge Structural Database (CSD) [1, 2], the Inorganic Chemistry Structural Database (ICSD) [3] and CRYSMET [4] were created.
Documents seen by the Guardian have uncovered longstanding ethical and privacy issues about the way academics hoovered up personal data by accessing a vast set of US Facebook profiles, in order to build sophisticated models of users' personalities without their knowledge.
(After 9/11, DARPA also gave birth to Total Information Awareness, a program designed to sort through vast sets of data about individuals, including Americans, in order to identify potential terrorists. Congress killed the program in 2003, but many of its capabilities were passed along to other departments).
The ability to quickly extract actionable insights from vast sets of data has already become a business imperative in some sectors.
It mines vast sets of data to find facts relevant to a patient's history and makes recommendations to doctors.
Modern analytical techniques – particularly the capability to analyse and compare vast sets of data simultaneously – are delivering new capabilities to understand how natural systems work.
The study of the human brain is informing advanced artificial intelligence algorithms that can manipulate vast sets of data.
The computer has added enormously to the power that the amateur can bring to bear on a problem, but interestingly Dr Lintott argues, it is the human brain's unique ability to spot inconsistencies in the vast sets of data scientists have amassed that makes citizen science so useful.
